latent variable

Non-Autoregressive Neural Machine Translation with Consistency Regularization Optimized Variational Framework NAACL 2022 Online Ad Hoc Teamwork under Partial Observability ICLR 2022 Properties from mechanisms: an equivariance perspective on identifiable representation learning ICLR 2022 Recurrence Boosts Diversity! Revisiting Recurrent Latent Variable in Transformer-Based Variational AutoEncoder for Diverse Text Generation EMNLP 2022 Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures inside Arguments COLING 2022 Sequential Topic Selection Model with Latent Variable for Topic-Grounded Dialogue EMNLP 2022 Structured variational inference in Bayesian state-space models AISTATS 2022 Structuring Uncertainty for Fine-Grained Sampling in Stochastic Segmentation Networks NeurIPS 2022 Superclass-Conditional Gaussian Mixture Model For Learning Fine-Grained Embeddings ICLR 2022 Text-to-speech synthesis using spectral modeling based on non-negative autoencoder Interspeech 2022 Towards Building A Group-based Unsupervised Representation Disentanglement Framework ICLR 2022 Towards Efficient Dialogue Pre-training with Transferable and Interpretable Latent Structure EMNLP 2022 Towards Inter-character Relationship-driven Story Generation EMNLP 2022 Towards Robust Unsupervised Disentanglement of Sequential Data — A Case Study Using Music Audio IJCAI 2022 Training and Evaluation of Deep Policies Using Reinforcement Learning and Generative Models JMLR 2022 Unified Multivariate Gaussian Mixture for Efficient Neural Image Compression CVPR 2022 Variational oracle guiding for reinforcement learning ICLR 2022 Weakly-Supervised Generation and Grounding of Visual Descriptions With Conditional Generative Models CVPR 2022 Weakly Supervised Representation Learning with Sparse Perturbations NeurIPS 2022 A Bayesian Contiguous Partitioning Method for Learning Clustered Latent Variables JMLR 2021 Actively Identifying Causal Effects with Latent Variables Given Only Response Variable Observable NeurIPS 2021 A Deep Decomposable Model for Disentangling Syntax and Semantics in Sentence Representation EMNLP 2021 A Differentiable Relaxation of Graph Segmentation and Alignment for AMR Parsing EMNLP 2021 A Generative Framework for Simultaneous Machine Translation EMNLP 2021 A universal probabilistic spike count model reveals ongoing modulation of neural variability NeurIPS 2021